知识工程驱动的数控加工刀具选配方法研究

Research on Method of Knowledge Engineering Driven CNC Cutting-tool Selection

数控加工过程中的刀具选配是降低加工成本、提高加工质量和效率的重要因素之一,而采用知识工程手段构建知识驱动的刀具选配方法则是解决该问题的有效途径。据此,提出了从刀具分类编码、刀具配套组合推理和刀具选配知识重用三方面出发的刀具选配方法。其中,刀具分类编码用于数控刀具的统一分类和标识,刀具配套组合推理用于获取数控刀具的不同组合形式,而刀具选配知识重用则是利用已有案例及相似性原理快速实现刀具选配。通过企业案例说明了上述知识驱动的刀具选配方法的可行性和实用性。

The cutting-tool selection is of great significance for improving the quality and efficiency of Computer Numercial Con- trol （CNC） machining, as well as for cutting the machining cost. However, the knowledge engineering driven method offers an effective way for solving problem in cutting-tool selection. In view of the above, three key enabling techniques are included and proposed as ： 1 ） the coding technique; 2） the reasoning and matching technique; 3 ） the knowledge reuse. Among which, the coding technique was used for the uniform classification and identification of cutting-tools, the reasoning and matching technique were used for the assembling of various cutting-tools, and the knowledge reuse was used for the similarity calculating technique based on historical cases for realizing the on-demand cutting-tool selection. Finally, the validity and practicability of the above method are proved via a practice case in a manufacturing enterprise.